Guide
Most security testing budgets go to static analysis, software composition analysis and scanners, which check code against known vulnerabilities and common attack patterns. Fuzz testing looks for the unknown ones. It throws malformed, unexpected and random inputs at software to trigger crashes, infinite loops and memory leaks, the behaviors that point to the weaknesses sophisticated attackers go looking for. Once the preserve of elite researchers, fuzzing has matured to the point that developers and test teams can add it to their workflow, and a fuzz harness usually only needs writing once per application. This guide explains how fuzzing works, from seed corpora and coverage analysis to the differences between random, grammar-based and guided fuzzers, which industries should prioritize it, from aerospace and automotive to medical devices and financial services, and the regulations that now expect it, including ED-203A in aviation, DORA's threat-led testing for EU financial firms, and FDA premarket guidance for medical devices.
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